by pyroprompts
Integrate Claude with any OpenAI-compatible chat API and SDKs (OpenAI, Perplexity, Groq, xAI, PyroPrompts). Easy Claude
Connects Claude to any OpenAI-compatible chat API including OpenAI, Perplexity, Groq, xAI, and PyroPrompts. Lets Claude send questions to other AI models and get responses back.
any-chat-completions-mcp is a community-built MCP server published by pyroprompts that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Claude with any OpenAI-compatible chat API and SDKs (OpenAI, Perplexity, Groq, xAI, PyroPrompts). Easy Claude It is categorized under ai ml, developer tools.
You can install any-chat-completions-mcp in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
any-chat-completions-mcp is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
any-chat-completions-mcp reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Strong directory entry: any-chat-completions-mcp surfaces stars and publisher context so we could sanity-check maintenance before adopting.
any-chat-completions-mcp is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend any-chat-completions-mcp for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
any-chat-completions-mcp has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: any-chat-completions-mcp surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, any-chat-completions-mcp benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
any-chat-completions-mcp is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend any-chat-completions-mcp for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
any-chat-completions-mcp reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more.
This implements the Model Context Protocol Server. Learn more: https://modelcontextprotocol.io
This is a TypeScript-based MCP server that implements an implementation into any OpenAI SDK Compatible Chat Completions API.
It has one tool, chat which relays a question to a configured AI Chat Provider.
<a href="https://glama.ai/mcp/servers/nuksdrfb55"><img width="380" height="200" src="https://glama.ai/mcp/servers/nuksdrfb55/badge" /></a>
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
To add OpenAI to Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
You can use it via npx in your Claude Desktop configuration like this:
{
"mcpServers": {
"chat-openai": {
"command": "npx",
"args": [
"@pyroprompts/any-chat-completions-mcp"
],
"env": {
"AI_CHAT_KEY": "OPENAI_KEY",
"AI_CHAT_NAME": "OpenAI",
"AI_CHAT_MODEL": "gpt-4o",
"AI_CHAT_BASE_URL": "https://api.openai.com/v1"
}
}
}
}
Or, if you clone the repo, you can build and use in your Claude Desktop configuration like this:
{
"mcpServers": {
"chat-openai": {
"command": "node",
"args": [
"/path/to/any-chat-completions-mcp/build/index.js"
],
"env": {
"AI_CHAT_KEY": "OPENAI_KEY",
"AI_CHAT_NAME": "OpenAI",
"AI_CHAT_MODEL": "gpt-4o",
"AI_CHAT_BASE_URL": "https://api.openai.com/v1"
}
}
}
}
You can add multiple providers by referencing the same MCP server multiple times, but with different env arguments:
{
"mcpServers": {
"chat-pyroprompts": {
"command": "node",
"args": [
"/path/to/any-chat-completions-mcp/build/index.js"
],
"env": {
"AI_CHAT_KEY": "PYROPROMPTS_KEY",
"AI_CHAT_NAME": "PyroPrompts",
"AI_CHAT_MODEL": "ash",
"AI_CHAT_BASE_URL": "https://api.pyroprompts.com/openaiv1"
}
},
"chat-perplexity": {
"command": "node",
"args": [
"/path/to/any-chat-completions-mcp/build/index.js"
],
"env": {
"AI_CHAT_KEY": "PERPLEXITY_KEY",
"AI_CHAT_NAME": "Perplexity",
"AI_CHAT_MODEL": "sonar",
"AI_CHAT_BASE_URL": "https://api.perplexity.ai"
}
},
"chat-openai": {
"command": "node",
"args": [
"/path/to/any-chat-completions-mcp/build/index.js"
],
"env": {
"AI_CHAT_KEY": "OPENAI_KEY",
"AI_CHAT_NAME": "OpenAI",
"AI_CHAT_MODEL": "gpt-4o",
"AI_CHAT_BASE_URL": "https://api.openai.com/v1"
}
}
}
}
With these three, you'll see a tool for each in the Claude Desktop Home:

And then you can chat with other LLMs and it shows in chat like this:

Or, configure in LibreChat like:
chat-perplexity:
type: stdio
command: npx
args:
- -y
- @pyroprompts/any-chat-completions-mcp
env:
AI_CHAT_KEY: "pplx-012345679"
AI_CHAT_NAME: Perplexity
AI_CHAT_MODEL: sonar
AI_CHAT_BASE_URL: "https://api.perplexity.ai"
PATH: '/usr/local/bin:/usr/bin:/bin'
And it shows in LibreChat:

To install Any OpenAI Compatible API Integrations for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install any-chat-completions-mcp-server --client claude
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
CLAUDEANYCHAT for 20 free automation credits on Pyroprompts.Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.